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H∞-Norm Evaluation of Transfer Matrices of Dynamical Systems via Extended Balanced Singular Perturbation Method

Year 2025, Early View, 1 - 1
https://doi.org/10.35378/gujs.1461292

Abstract

In this paper, we use a hybrid approach known as the extended balanced singular perturbation technique to compute the H_∞-norm of a transfer matrix of a dynamical system. The transfer matrix's order is first reduced using the balanced truncation approach, and its H_∞-norm is then found using the singular perturbation method. Both the singular perturbation technique and the balanced truncation approach methods are provided with computer algebraic instructions. The method is then applied to a decentralized interconnected system, and the error analysis of the solution is investigated.

References

  • [1] Zames, G., “Feedback and optimal sensitivity: Model reference transformations, Multiplicative seminorms and approximate inverses”, IEEE Transactions on Automatic Control, 26(2): 301-20, (1981).
  • [2] Boyd, S., Balakrishnan, V., Kamamba, P., “A bisection method for computing the H_∞-norm of a transfer matrix and related problems”, Mathematics of Control, Signals and Systems, 2(3): 207-19, (1989).
  • [3] Kuster, G. E., “H-infinity norm calculation via a state-space formulization”, Master Thesis Faculty of the Virginia Polytechnique Institute and State University, (2012).
  • [4] Gunduz, H., Celik. E., “H_∞-norm evaluation for a transfer matrix via bisection algorithm”, Thermal Science, 26 (2): 745-51, (2022).
  • [5] Bruinsma, N. A., Steinbuch, M., “A fast algorithm to compute the H_∞-norm of a transfer function matrix”, System and Control Letters, 14(4): 287-93, (1990).
  • [6] James, D., Kresimir. V., “Jacobi's method is more accurate than QR”, Computer Science Department Technology Reports, Courant Institute, New York, (1989).
  • [7] Haider, S., Ghafoor, A., Imran, M., Mumtaz, F., “Techniques for computation of frequency limited H_∞-norm”, IOP Conference Series: Earth and Environmental Science, 114: 012-013, (2018).
  • [8] Liu, Y., Anderson, B., “Singular perturbation approximation of balanced systems”, International Journal of Control, 50: 1379-1405, (1989).
  • [9] Suman, S. K., Kumar, A., “A reduction of large-scale dynamical systems by extended balanced singular perturbation approximation”, International Journal of Mathematical, Engineering and Management Sciences, 5(5): 939-56, (2020).
  • [10] Gajic, Z., Lelic, M., “Improvement of system order reduction via balancing using the method of singular perturbations”, Automatica, 37(11): 1859-65, (2001).
  • [11] Moore, B., “Principal component analysis in linear systems: Controllability, observability and model reduction”, IEEE Transactions on Automatic Control, 26(1): 17-32, (1981).
  • [12] Pernebo, L., Silverman, L., “Model reduction via balanced state-space representations”, Institute of Electrical and Electronic Engineering Transactions on Automatic Control, 27(2): 382-87, (1989).
  • [13] Enns, D. F., “Model reduction with balanced realization: An error bound and a frequency weighted generalization”, The 23rd Institute of Electrical and Electronic Engineering Conference on Decision and Control, 127-32, (1984).
  • [14] Imran, M, Ghafoor, A, Sreeram, V., “A frequency weighted model order reduction technique and error bounds”, Automatica, 50(12): 3304-3309, (2014).
  • [15] Kokotovic, P.V., O’Malley, R.E. and Sannuti, P., “Singular perturbations and order reduction in control theory-An overview”, Automatica, 12(2): 123–132, (1976).
  • [16] N'Diaye, M., Hussain, S., Suliman, I. M. A., Toure, L., “Robust uncertainty alleviation by H-infinity analysis and control for singularity perturbed systems with disturbances”, Journal of Xi'an Shioyu University, Natural Science Edition, 19(01): 728-37, (2023).
  • [17] Datta, B. N., Numerical methods for linear control systems (1), London, New York. Academic Press, (2004).
  • [18] Antoulas, A. C., Benner, P., Feng. L., “Model reduction by iterative error system approximation”, Mathematical and Computer Modelling of Dynamical Systems, 24(2): 103–18, (2018).
  • [19] Saif, M., Guan. Y., “Decentralized state estimation in large-scale interconnected dynamical systems”, Automatica, 28(1): 215-19, (1992).
Year 2025, Early View, 1 - 1
https://doi.org/10.35378/gujs.1461292

Abstract

References

  • [1] Zames, G., “Feedback and optimal sensitivity: Model reference transformations, Multiplicative seminorms and approximate inverses”, IEEE Transactions on Automatic Control, 26(2): 301-20, (1981).
  • [2] Boyd, S., Balakrishnan, V., Kamamba, P., “A bisection method for computing the H_∞-norm of a transfer matrix and related problems”, Mathematics of Control, Signals and Systems, 2(3): 207-19, (1989).
  • [3] Kuster, G. E., “H-infinity norm calculation via a state-space formulization”, Master Thesis Faculty of the Virginia Polytechnique Institute and State University, (2012).
  • [4] Gunduz, H., Celik. E., “H_∞-norm evaluation for a transfer matrix via bisection algorithm”, Thermal Science, 26 (2): 745-51, (2022).
  • [5] Bruinsma, N. A., Steinbuch, M., “A fast algorithm to compute the H_∞-norm of a transfer function matrix”, System and Control Letters, 14(4): 287-93, (1990).
  • [6] James, D., Kresimir. V., “Jacobi's method is more accurate than QR”, Computer Science Department Technology Reports, Courant Institute, New York, (1989).
  • [7] Haider, S., Ghafoor, A., Imran, M., Mumtaz, F., “Techniques for computation of frequency limited H_∞-norm”, IOP Conference Series: Earth and Environmental Science, 114: 012-013, (2018).
  • [8] Liu, Y., Anderson, B., “Singular perturbation approximation of balanced systems”, International Journal of Control, 50: 1379-1405, (1989).
  • [9] Suman, S. K., Kumar, A., “A reduction of large-scale dynamical systems by extended balanced singular perturbation approximation”, International Journal of Mathematical, Engineering and Management Sciences, 5(5): 939-56, (2020).
  • [10] Gajic, Z., Lelic, M., “Improvement of system order reduction via balancing using the method of singular perturbations”, Automatica, 37(11): 1859-65, (2001).
  • [11] Moore, B., “Principal component analysis in linear systems: Controllability, observability and model reduction”, IEEE Transactions on Automatic Control, 26(1): 17-32, (1981).
  • [12] Pernebo, L., Silverman, L., “Model reduction via balanced state-space representations”, Institute of Electrical and Electronic Engineering Transactions on Automatic Control, 27(2): 382-87, (1989).
  • [13] Enns, D. F., “Model reduction with balanced realization: An error bound and a frequency weighted generalization”, The 23rd Institute of Electrical and Electronic Engineering Conference on Decision and Control, 127-32, (1984).
  • [14] Imran, M, Ghafoor, A, Sreeram, V., “A frequency weighted model order reduction technique and error bounds”, Automatica, 50(12): 3304-3309, (2014).
  • [15] Kokotovic, P.V., O’Malley, R.E. and Sannuti, P., “Singular perturbations and order reduction in control theory-An overview”, Automatica, 12(2): 123–132, (1976).
  • [16] N'Diaye, M., Hussain, S., Suliman, I. M. A., Toure, L., “Robust uncertainty alleviation by H-infinity analysis and control for singularity perturbed systems with disturbances”, Journal of Xi'an Shioyu University, Natural Science Edition, 19(01): 728-37, (2023).
  • [17] Datta, B. N., Numerical methods for linear control systems (1), London, New York. Academic Press, (2004).
  • [18] Antoulas, A. C., Benner, P., Feng. L., “Model reduction by iterative error system approximation”, Mathematical and Computer Modelling of Dynamical Systems, 24(2): 103–18, (2018).
  • [19] Saif, M., Guan. Y., “Decentralized state estimation in large-scale interconnected dynamical systems”, Automatica, 28(1): 215-19, (1992).
There are 19 citations in total.

Details

Primary Language English
Subjects Numerical Analysis, Ordinary Differential Equations, Difference Equations and Dynamical Systems, Calculus of Variations, Mathematical Aspects of Systems Theory and Control Theory
Journal Section Research Article
Authors

Hasan Gündüz 0000-0001-5851-3819

Mesut Karabacak 0000-0002-0057-8115

Ercan Celık 0000-0001-5971-7653

Early Pub Date September 26, 2024
Publication Date
Submission Date March 30, 2024
Acceptance Date July 10, 2024
Published in Issue Year 2025 Early View

Cite

APA Gündüz, H., Karabacak, M., & Celık, E. (2024). H∞-Norm Evaluation of Transfer Matrices of Dynamical Systems via Extended Balanced Singular Perturbation Method. Gazi University Journal of Science1-1. https://doi.org/10.35378/gujs.1461292
AMA Gündüz H, Karabacak M, Celık E. H∞-Norm Evaluation of Transfer Matrices of Dynamical Systems via Extended Balanced Singular Perturbation Method. Gazi University Journal of Science. Published online September 1, 2024:1-1. doi:10.35378/gujs.1461292
Chicago Gündüz, Hasan, Mesut Karabacak, and Ercan Celık. “H∞-Norm Evaluation of Transfer Matrices of Dynamical Systems via Extended Balanced Singular Perturbation Method”. Gazi University Journal of Science, September (September 2024), 1-1. https://doi.org/10.35378/gujs.1461292.
EndNote Gündüz H, Karabacak M, Celık E (September 1, 2024) H∞-Norm Evaluation of Transfer Matrices of Dynamical Systems via Extended Balanced Singular Perturbation Method. Gazi University Journal of Science 1–1.
IEEE H. Gündüz, M. Karabacak, and E. Celık, “H∞-Norm Evaluation of Transfer Matrices of Dynamical Systems via Extended Balanced Singular Perturbation Method”, Gazi University Journal of Science, pp. 1–1, September 2024, doi: 10.35378/gujs.1461292.
ISNAD Gündüz, Hasan et al. “H∞-Norm Evaluation of Transfer Matrices of Dynamical Systems via Extended Balanced Singular Perturbation Method”. Gazi University Journal of Science. September 2024. 1-1. https://doi.org/10.35378/gujs.1461292.
JAMA Gündüz H, Karabacak M, Celık E. H∞-Norm Evaluation of Transfer Matrices of Dynamical Systems via Extended Balanced Singular Perturbation Method. Gazi University Journal of Science. 2024;:1–1.
MLA Gündüz, Hasan et al. “H∞-Norm Evaluation of Transfer Matrices of Dynamical Systems via Extended Balanced Singular Perturbation Method”. Gazi University Journal of Science, 2024, pp. 1-1, doi:10.35378/gujs.1461292.
Vancouver Gündüz H, Karabacak M, Celık E. H∞-Norm Evaluation of Transfer Matrices of Dynamical Systems via Extended Balanced Singular Perturbation Method. Gazi University Journal of Science. 2024:1-.